Journal & Article

Software Engineering

I/F
# Journal I/F

IEEE Transactions on Services Computing

Editorial: A Message From the New Editor-in-Chief $AiRacleX$: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation BSTL: Bayesian STL for Predictive Edge Service Monitoring With Probabilistic Guarantee A Federated Adaptive Large Language Model Fine-Tuning Framework for Software Development A Hybrid Fault-Tolerant Workflow Scheduling With Performance Fluctuated Cloud Resources A Knee Point-Driven Set-Based Swarm Optimizer for Computing Tasks Allocation Oriented to Marginal Utility in Fog Computing A Stable Locality-Aware Task Scheduling Mechanism for Mobile Edge Computing With Workflow Task Offloading AC-BaaS: An Asynchronous Cross-Blockchain as a Service for the Internet of Things Adaptive Task Offloading Strategy in Vehicle-Assisted Mobile Edge Computing Adaptive Timescale Hierarchical Learning for Energy-Efficient Service Deployment and Delivery in MEC AGCN: A Service Computing-Oriented Anchor-Guided Graph Clustering Network An Adaptive Toolbox for Computing Throttling Rate Limits in Web APIs An Optimal Virtual Valuation-Based Combinatorial Auction Mechanism for Time-Varying Resource Allocation in Heterogeneous Cloud Services Asynchronous Task Scheduling and Resource Allocation for UAV-Enabled Mobile Edge Computing Networks Auditable Ledger Snapshot for Non-Repudiable Cross-Blockchain Communication Broker-Assisted Computation Offloading and Resource Pricing in MEC Networks: A Two-Stage Stackelberg Game Approach CIRCA: A Framework for Collaborative Identification of Root Cause Analysis in IoT Microservices Cooperative Coevolution Genetic Programming for Dynamic Joint Workflow Scheduling and Container Scaling in Cloud-Fog Computing DALAD: Unsupervised Detection of Global and Local Anomalies in Microservice Systems Detecting Root Causes for Process Performance Anomalies Using Causal Inference DQO-P5PI: A Preservation DRIBL Privacy and Data Quality Scheme Using Fuzzy Sets for MCS Service System EBFL: An Efficient Blockchain Framework for Federated Learning Services Efficient and Fault Tolerant Data Stream Processing With Uncertain Data Rates in Serverless Edge Computing Efficient Federated Metric Learning and Machine Unlearning Based on Prototype Distillation Enhancing AIGC Service Efficiency With Adaptive Multi-Edge Collaboration in a Distributed System Enhancing Process Discovery by Optimizing Imprecise Sub-Processes Fairness-Aware Federated Recommender Design With Heterogeneous Privacy Budgets FLISC$^{3}$3: Federated Learning-Oriented Resource Optimization in ISCC-Enabled Edge Collaborative Networks Flocky: Decentralized Intent-Based Edge Orchestration Using Open Application Model Graph-Based Diffusion Model for Service Recommendation HGraphScale: Hierarchical Graph Learning for Autoscaling Microservice Applications in Container-Based Cloud Computing Hierarchical Reinforcement Learning for Optimizing Local-Global Collaborative Computation Offloading and Resource Allocation IoT-Cloud Data Sharing and Access Control System With Efficient Policy Updating Kafka-Thor: A Kafka-based In-Edge Data Streaming Platform for Enhanced V2X Services Location Privacy Protection Method Based on Local Differential Privacy in Crowdsensing With Approximately Accurate Task Allocation MGCO: Mobility-Aware Generative Computation Offloading in Edge-Cloud Systems MHCertChain: A Multi-CA Hierarchical Certificate Blockchain With Low Overhead Multi-Scale Collaborative Distillation Graph Neural Networks for Session-Based Recommendation NL2Filter: A Robust CNN Design for Visual Services Over Cloud and Device Non-Subjective Trust Mechanism for Online Ride-Hailing Services OPUS: Optimal Pricing for UAV-as-a-Service Using Bargaining Game Panther: A Cost-Effective Privacy-Preserving Framework for GNN Training and Inference Services in Cloud Environments PAWSSP: A Two-Stage Parallelism-Aware Algorithm for Joint Workflow Scheduling and Service Placement in Edge Computing Practical Efficient Deployment and Updating for Microservice With Dependencies in Multi-Access Edge Computing Privacy-Preserving Cross-Client Recommender Systems With Fully-Separable Graph Neural Networks QuanFraud: Quantum State Verification Scheme for Fraud Detection in IoT-Assisted Quantum-Blockchain Networks Robust Load Balancing Taking Advantage of Aggregated Performance Metrics SageCopilot: An LLM-Empowered Autonomous Agent for Data Science as a Service SEPP-FLBC: A Secure and Efficient Privacy Protection Scheme Using Federate Learning and Blockchain for Edge-End-Cloud Devices SMAUG: Semantic-Enhanced Mobile App Usage Data Generation With LLM